RISPP: rotating instruction set processing platform

  • Authors:
  • Lars Bauer;Muhammad Shafique;Simon Kramer;Jörg Henkel

  • Affiliations:
  • University of Karlsruhe, Karlsruhe, Germany;University of Karlsruhe, Karlsruhe, Germany;University of Karlsruhe, Karlsruhe, Germany;University of Karlsruhe, Karlsruhe, Germany

  • Venue:
  • Proceedings of the 44th annual Design Automation Conference
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Adaptation in embedded processing is key in order to address efficiency. The concept of extensible embedded processors works well if a few a-priori known hot spots exist. However, they are far less efficient if many and possible at-design-time-unknown hot spots need to be dealt with. Our RISPP approach advances the extensible processor concept by providing flexibility through runtime adaptation by what we call "instruction rotation". It allows sharing resources in a highly flexible scheme of compatible components (called Atoms and Molecules). As a result, we achieve high speed-ups at moderate additional hardware. Furthermore, we can dynamically tradeoff between area and speed-up through runtime adaptation. We present the main components of our platform and discuss by means of an H.264 video codec.